1 National HIC/RH/HQ Meeting ● January 27, 2006 version: 20011128 FOCUSFOCUS FOCUSFOCUS FOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS.

Slides:



Advertisements
Similar presentations
C2 NWS Snow Model. C2 Snow Model Terms  SWE - Snow water equivalent  AESC - Areal extent of snow cover  Heat Deficit - Energy required to bring the.
Advertisements

Development of Bias-Corrected Precipitation Database and Climatology for the Arctic Regions Daqing Yang, Principal Investigator Douglas L. Kane, Co-Investigator.
SNOW SURVEY, SNOTEL (SNOwpack TELemetry) & SCAN (Soil Climate Analysis Network) Presented at NWS Cold Regions Workshop November , 2004.
Di1a: 1 UFFICIO GENERALE PER LA METEOROLOGIA Short term plans of activities related to NWP at UGM Zurich Sept Massimo Ferri.
The Color Colour of Snow and its Interpretation from Imaging Spectrometry.
Multi-sensor and multi-scale data assimilation of remotely sensed snow observations Konstantinos Andreadis 1, Dennis Lettenmaier 1, and Dennis McLaughlin.
Focus on the Terrestrial Cryosphere Cold land areas where water is either seasonally or permanently frozen. Terrestrial Cryosphere 0.25 m Frost Penetration.
Mapping future snow cover in Idaho Brandon C. Moore University of Idaho.
Lecture ERS 482/682 (Fall 2002) Snow hydrology ERS 482/682 Small Watershed Hydrology.
Detecting SWE peak time from passive microwave data Naoki Mizukami GEOG6130 Advanced Remote Sensing.
Hydrological Modeling FISH 513 April 10, Overview: What is wrong with simple statistical regressions of hydrologic response on impervious area?
Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.
Chapter 13 – Weather Analysis and Forecasting. The National Weather Service The National Weather Service (NWS) is responsible for forecasts several times.
Water Supply Forecast using the Ensemble Streamflow Prediction Model Kevin Berghoff, Senior Hydrologist Northwest River Forecast Center Portland, OR.
MODELING OF COLD SEASON PROCESSES Snow Ablation and Accumulation Frozen Ground Processes.
Spatial and Temporal Variation in Snow-Water Equivalent Using NOAA’s Historical Airborne Gamma Data to Assess Snow Trends from 1980 – 2008 Patrick Didier,
Distinct properties of snow
Snow Cover: Current Capabilities, Gaps and Issues (Canadian Perspective) Anne Walker Climate Research Branch, Meteorological Service of Canada IGOS-Cryosphere.
These notes are provided to help you pay attention IN class. If I notice poor attendance, fewer notes will begin to appear on these pages Snow Measuring.
Satellite Retrieval of Snow Cover Properties in Northern Canada  Current Capabilities and Plans for IPY  Anne Walker Climate Research Division, Science.
CryosPheric responses to Anthropogenic PRessures in the HIndu Kush-Himalaya regions: impacts on water resources and society adaptation in Nepal DHM Centre.
Real-time integration of remote sensing, surface meteorology, and ecological models.
UTILIZING COCORAHS RAINFALL DATA IN OPERATIONAL RIVER FORECAST OPERATIONS AT THE NERFC Ronald S. W. Horwood Meteorologist SR HAS Forecaster National Weather.
Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 1 American Meteorological Society 21 st Conference.
Winter precipitation and snow water equivalent estimation and reconstruction for the Salt-Verde-Tonto River Basin for the Salt-Verde-Tonto River Basin.
Retrieving Snowpack Properties From Land Surface Microwave Emissivities Based on Artificial Neural Network Techniques Narges Shahroudi William Rossow NOAA-CREST.
Forecasting Streamflow with the UW Hydrometeorological Forecast System Ed Maurer Department of Atmospheric Sciences, University of Washington Pacific Northwest.
Integration of SNODAS Data Products and the PRMS Model – An Evaluation of Streamflow Simulation and Forecasting Capabilities George Leavesley 1, Don Cline.
VERIFICATION OF NDFD GRIDDED FORECASTS IN THE WESTERN UNITED STATES John Horel 1, David Myrick 1, Bradley Colman 2, Mark Jackson 3 1 NOAA Cooperative Institute.
Development and evaluation of Passive Microwave SWE retrieval equations for mountainous area Naoki Mizukami.
Introduction to NASA Water Products Rain, Snow, Soil Moisture, Ground Water, Evapotranspiration NASA Remote Sensing Training Norman, Oklahoma, June 19-20,
Reducing Canada's vulnerability to climate change - ESS J28 Earth Science for National Action on Climate Change Canada Water Accounts AET estimates for.
1 Cold Regions Hydrology Workshop   Kansas City, MO  November 16-19, 2004 Snow Data Issues and NSA Model Assimilation Carrie Olheiser National Operational.
US Army Corps of Engineers BUILDING STRONG ® Omaha Districts Inflow Forecast Regression Analysis Carrie Vuyovich and Steven Daly ERDC-CRREL Cold Regions.
MODSCAG fractional snow covered area (fSCA )for central and southern Sierra Nevada Spatial distribution of snow water equivalent across the central and.
Estimating the Spatial Distribution of Snow Water Equivalent and Snowmelt in Mountainous Watersheds of Semi-arid Regions Noah Molotch Department of Hydrology.
Operational Issues from NCDC Perspective Steve Del Greco, Brian Nelson, Dongsoo Kim NOAA/NESDIS/NCDC Dongjun Seo – NOAA/NWS/OHD 1 st Q2 Workshop Archive,
An FSL-RUC/RR Proposal for AoR Stan Benjamin Dezso Devenyi Steve Weygandt John M. Brown NOAA / FSL Help from NOHRSC/NWS – Chanhassen, MN - Tom Carroll,
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
The White Arctic: A Snow Impacts Synthesis for the Terrestrial Arctic Matthew Sturm 1 Glen E. Liston 2 Donald K. Perovich 1 Christopher A. Hiemstra 2 1.
The NOAA Hydrology Program and its requirements for GOES-R Pedro J. Restrepo Senior Scientist Office of Hydrologic Development NOAA’s National Weather.
American Association of State Climatologists, Coeur d’ Alene, ID 18 July, 2007 Update Since Rapid City Jan Curtis Applied Climatologist National Water.
NASA Snow and Ice Products NASA Remote Sensing Training Geo Latin America and Caribbean Water Cycle capacity Building Workshop Colombia, November 28-December.
A Numerical Study of Early Summer Regional Climate and Weather. Zhang, D.-L., W.-Z. Zheng, and Y.-K. Xue, 2003: A Numerical Study of Early Summer Regional.
INNOVATIVE SOLUTIONS for a safer, better world Capability of passive microwave and SNODAS SWE estimates for hydrologic predictions in selected U.S. watersheds.
An Improved Global Snow Classification Dataset for Hydrologic Applications (Photo by Kenneth G. Libbrecht and Patricia Rasmussen) Glen E. Liston, CSU Matthew.
Figure 1. Map of study area. Heavy solid polygon defines “Cascade Mountains” for the purposes of this study. The thin solid line divides the Cascade Mountains.
1 National Operational Hydrologic Remote Sensing Center February 2-3, 2005 Arctic Climate Science Priorities Workshop Don Cline National Operational Hydrologic.
Cooperation Program in the field of meteorology between Roshydromet and NOAA Cooperation Program in the field of meteorology between Roshydromet and NOAA.
Parameterisation by combination of different levels of process-based model physical complexity John Pomeroy 1, Olga Semenova 2,3, Lyudmila Lebedeva 2,4.
1 NOHRSC Challenges of using Snow Data Carrie Olheiser Office of Hydrologic Development National Weather Service, NOAA U.S. Department of Commerce National.
A 85-year Retrospective Hydrologic Analysis for the Western US Nathalie Voisin, Hyo-Seok Park, Alan F. Hamlet, Andrew W. Wood, Ned Guttman # and Dennis.
Matt Rodell NASA GSFC Multi-Sensor Snow Data Assimilation Matt Rodell 1, Zhong-Liang Yang 2, Ben Zaitchik 3, Ed Kim 1, and Rolf Reichle 1 1 NASA Goddard.
Performance Comparison of an Energy- Budget and the Temperature Index-Based (Snow-17) Snow Models at SNOTEL Stations Fan Lei, Victor Koren 2, Fekadu Moreda.
US Army Corps of Engineers BUILDING STRONG ® Missouri River Basin Cooperative Plains Snow Survey Kevin Grode, P.E. Reservoir Regulation Team Lead Missouri.
Assimilating AMSR Snow Brightness Temperatures into Forecasts of SWE in the Columbia River Basin: a Comparison of Two Methods Theodore J. Bohn 1, Konstantinos.
EVALUATION OF A GLOBAL PREDICTION SYSTEM: THE MISSISSIPPI RIVER BASIN AS A TEST CASE Nathalie Voisin, Andy W. Wood and Dennis P. Lettenmaier Civil and.
SnowSTAR 2002 Transect Reconstruction Using SNTHERM Model July 19, 2006 Xiaogang Shi and Dennis P. Lettenmaier.
An advanced snow parameterization for the models of atmospheric circulation Ekaterina E. Machul’skaya¹, Vasily N. Lykosov ¹Hydrometeorological Centre of.
Land-Surface evolution forced by predicted precipitation corrected by high-frequency radar/satellite assimilation – the RUC Coupled Data Assimilation System.
Over 30% of Earth’s land surface has seasonal snow. On average, 60% of Northern Hemisphere has snow cover in midwinter. About 10% of Earth’s land surface.
David A. Robinson Rutgers, The State University of New Jersey
The State of the Cryosphere
Passive Microwave Systems & Products
Kostas Andreadis and Dennis Lettenmaier
Model-Based Estimation of River Flows
Streamflow Simulations of the Terrestrial Arctic Regime
Kostas M. Andreadis1, Dennis P. Lettenmaier1
Hydrologic issues in the measurement of snowfall
Model-Based Estimation of River Flows
Presentation transcript:

1 National HIC/RH/HQ Meeting ● January 27, 2006 version: FOCUSFOCUS FOCUSFOCUS FOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS

New Snow Products from the National Operational Hydrologic Remote Sensing Center

3 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Ground Airborne Satellite Multi-sensor Snow Observations Data Products Interactive Maps Time Series Plots Text Discussions Snow Information Products Snow Modeling and Data Assimilation Numerical Weather Prediction Model Forcings Gridded Snow Characteristics U.S. 1-km 2 Hourly

4 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Ground Airborne Satellite Multi-sensor Snow Observations National Weather Service –First-order Stations –Cooperatives Federal and State Agencies –NRCS SNOTEL and Snow Courses –USACE New England District Snow Surveys –Federal Aviation Administration –California Dept. of Water Resources Regional Mesonets –Maine Cooperative Snow Survey –PA, OK, IA, ND, NC State Mesonets –MESOWEST (150 smaller mesonets) International Agencies –St. John River Basin –Environment Canada –BC Hydro National Weather Service –First-order Stations –Cooperatives Federal and State Agencies –NRCS SNOTEL and Snow Courses –USACE New England District Snow Surveys –Federal Aviation Administration –California Dept. of Water Resources Regional Mesonets –Maine Cooperative Snow Survey –PA, OK, IA, ND, NC State Mesonets –MESOWEST (150 smaller mesonets) International Agencies –St. John River Basin –Environment Canada –BC Hydro 50,000+ stations in database 25,000+ actively reporting stations 10,000+ unique stations reporting snow observations 50,000+ stations in database 25,000+ actively reporting stations 10,000+ unique stations reporting snow observations

5 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Ground Airborne Satellite Multi-sensor Snow Observations Snow Water Equivalent Measurement –Attenuation of natural terrestrial gamma radiation by water in snow Snow Water Equivalent Measurement –Attenuation of natural terrestrial gamma radiation by water in snow NWS Airborne Snow Survey Program

6 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Ground Airborne Satellite Multi-sensor Snow Observations 2,187 Flight Lines 31 States, 8 Provinces 2,187 Flight Lines 31 States, 8 Provinces Airborne Snow Survey Program Flight Line Network

7 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Ground Airborne Satellite Multi-sensor Snow Observations Alaska Flight Line Network 191 Flight Lines

8 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Ground Airborne Satellite Multi-sensor Snow Observations Areal extent of snow cover is mapped using optical remote sensing data from geostationary and polar- orbiting satellites. Cloud cover obscures surface – significant problem. Sub-pixel percentage of snow cover (FSCA) developed by ERDC/CRREL is in second year of testing in NWS/NOHRSC operations. Areal extent of snow cover is mapped using optical remote sensing data from geostationary and polar- orbiting satellites. Cloud cover obscures surface – significant problem. Sub-pixel percentage of snow cover (FSCA) developed by ERDC/CRREL is in second year of testing in NWS/NOHRSC operations. Feb NOHRSC Satellite Areal Extent of Snow Cover

9 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Ground Airborne Satellite Multi-sensor Snow Observations Feb NOHRSC 80% 0%20% 50% Percent Snow Cover 100% Advanced Very High Resolution Radiometer (AVHRR) Fractional Snow Cover 1 km

10 National HIC/RH/HQ Meeting ● January 27, 2006 AVHRR Fractional Snow Cover 2005 December 15

11 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Ground Airborne Satellite Multi-sensor Snow Observations Data Products Interactive Maps Time Series Plots Text Discussions Snow Information Products Snow Modeling and Data Assimilation Numerical Weather Prediction Model Forcings Gridded Snow Characteristics U.S. 1-km 2 Hourly

12 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Land Surface Model for Snow and Soil –Domain: Continental U.S. –Resolution: 1km 2, Hourly –Physics: 5-Layer Energy and Mass Balance Spatial implementation of modified 1-D SNTHERM model developed by ERDC/CRREL (Anderson/Jordan) Spatial implementation of Prairie Blowing Snow Model (Pomeroy et al.) –Forcing: Mesoscale Weather Analyses RUC2, Eta physically downscaled to 1 km 2 –Snow State Variables: Water Equivalent (SWE) Total Depth Surface Temperature Average Temperature Liquid Water Content (Snow Wetness) Snow Melt Snow Data Assimilation System –Multi-sensor data fusion to update snow states in model (SWE, snow depth) Land Surface Model for Snow and Soil –Domain: Continental U.S. –Resolution: 1km 2, Hourly –Physics: 5-Layer Energy and Mass Balance Spatial implementation of modified 1-D SNTHERM model developed by ERDC/CRREL (Anderson/Jordan) Spatial implementation of Prairie Blowing Snow Model (Pomeroy et al.) –Forcing: Mesoscale Weather Analyses RUC2, Eta physically downscaled to 1 km 2 –Snow State Variables: Water Equivalent (SWE) Total Depth Surface Temperature Average Temperature Liquid Water Content (Snow Wetness) Snow Melt Snow Data Assimilation System –Multi-sensor data fusion to update snow states in model (SWE, snow depth) Snow Modeling and Data Assimilation Numerical Weather Prediction Model Forcings Gridded Snow Characteristics U.S. 1-km 2 Hourly

13 National HIC/RH/HQ Meeting ● January 27, 2006 NOHRSC Model Physics

14 National HIC/RH/HQ Meeting ● January 27, 2006 NSA Product Generation Interactive Maps Digital Data Discussions NSA Product Generation Interactive Maps Digital Data Discussions Temperature Relative Humidity Wind Speed Solar Radiation Atmos. Radiation Precipitation Precipitation Type Hourly Input Gridded Data (1 km) Hourly Input Gridded Data (1 km) Soils Properties Land Use/Cover Forest Properties Static Gridded Data (1 km) Static Gridded Data (1 km) Snow Energy and Mass Balance Model Blowing Snow Model Radiative Transfer Model State Variables for Multiple Vertical Snow & Soil Layers Snow Water Equivalent Snow Depth Snow Temperature Liquid Water Content Snow Sublimation Snow Melt State Variables for Multiple Vertical Snow & Soil Layers Snow Water Equivalent Snow Depth Snow Temperature Liquid Water Content Snow Sublimation Snow Melt Snow Modeling Framework 1 1 Data Assimilation 2 3 Snow Observations Snow Water Equivalent Snow Depth Snow Cover Snow Observations Snow Water Equivalent Snow Depth Snow Cover

15 National HIC/RH/HQ Meeting ● January 27, 2006 Over 25,000 Reporting Stations

16 National HIC/RH/HQ Meeting ● January 27, 2006 Interactive Snow Information System

17 National HIC/RH/HQ Meeting ● January 27, 2006 Interactive Snow Information System Modeled Observe d SWE Density Depth

18 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Ground Airborne Satellite Multi-sensor Snow Observations Data Products Interactive Maps Time Series Plots Text Discussions Snow Information Products Snow Modeling and Data Assimilation Numerical Weather Prediction Model Forcings Gridded Snow Characteristics U.S. 1-km 2 Hourly

19 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) High-resolution Daily and Hourly Gridded Snow Data Sets of Fused Model and Observations Snow Water Equivalent Snow Density Snow Sfc. Temperature Snow Avg. Temperature Snow Melt Sublimation Snow Wetness Local Information (1 km 2 ) Continental U.S. Information Snow Depth Archived at NCDC, NSIDC, and NDFD (soon) Data Products Interactive Maps Time Series Plots Text Discussions Snow Information Products

20 National HIC/RH/HQ Meeting ● January 27, 2006 National Snow Analyses (NSA) Integrated Modeled / Observed Snowpack State Variables Daily Basin-by-Basin SHEF Products Shipped to AWIPS 1.Snow Water Equivalent * 2.Snow Depth * 3.Areal Extent of Snow Cover * 4.Blowing Snow Sublimation 5.Surface Sublimation 6.Snowmelt 7.Average Snowpack Temperature 8.Rain plus Melt * Includes assimilated snow observations

21 National HIC/RH/HQ Meeting ● January 27, Over 12 million hits per month

22 National HIC/RH/HQ Meeting ● January 27, 2006

23 National HIC/RH/HQ Meeting ● January 27, 2006

24 National HIC/RH/HQ Meeting ● January 27, 2006 Physical Element Map Options

25 National HIC/RH/HQ Meeting ● January 27, 2006 Examples of Observed Snow Products NWS Cold Region Workshop: November 2004 No modeled snow information is contained in the observed snow product maps. Observed snow product maps include: –Snow depth –Snow water equivalent –Total snowfall –Interpolated total snowfall Each product is generated for previous 24, 48, and 72 hour periods (i.e.,12 total). Each product is updated every 2 hours to include most recent snow observations. Associated alphanumeric data are posted to NOHRSC web site.

26 National HIC/RH/HQ Meeting ● January 27, 2006 Interactive Snow Information System Day Snow Depth Observations

27 National HIC/RH/HQ Meeting ● January 27, 2006 Interactive Snow Information System Day Snow Water Equivalent Observations

28 National HIC/RH/HQ Meeting ● January 27, Day Snowfall Observations

29 National HIC/RH/HQ Meeting ● January 27, 2006

30 National HIC/RH/HQ Meeting ● January 27, 2006

31 National HIC/RH/HQ Meeting ● January 27, 2006

32 National HIC/RH/HQ Meeting ● January 27, 2006 Interactive climatological information in SNOW-Info –New capability added last year Two types of information –Maps: Monthly Normal Snow Depth NCDC Climate Atlas for U.S. –October through April –4 km resolution –Based on 5525 stations used in the NCDC U.S. Snow Climatology (TD- 9641M) –Stations: Daily Snow Depth Climatologies NCDC TD3200 Cooperative Summary of the Day –4000 first-order and cooperative observer stations –SNOW-Info database currently extends to 1970, eventually to 1948 New Climate Diagnostic Tools

33 National HIC/RH/HQ Meeting ● January 27, 2006 Monthly Normal Snow Depth New Climate Diagnostic Tools OCTNOVDEC JANFEBMAR APR SNOW-Info includes –Monthly-normal maps –Daily NSA departure-from-normal maps

34 National HIC/RH/HQ Meeting ● January 27, 2006 New Climate Diagnostic Tools Snow Depth

35 National HIC/RH/HQ Meeting ● January 27, 2006 New Climate Diagnostic Tools Normal Snow Depth November ( )

36 National HIC/RH/HQ Meeting ● January 27, 2006 New Climate Diagnostic Tools Daily Deviation from Monthly Normal Snow Depth November ( )

37 National HIC/RH/HQ Meeting ● January 27, 2006 New Climate Diagnostic Tools Modeled and Observed SWE and Depth

38 National HIC/RH/HQ Meeting ● January 27, 2006 New Climate Diagnostic Tools

39 National HIC/RH/HQ Meeting ● January 27, 2006

40 National HIC/RH/HQ Meeting ● January 27, 2006 Snow Water Equivalent Snow Depth Snowpack TemperatureSurface Sublimation

41 National HIC/RH/HQ Meeting ● January 27, 2006 Snowpack Temperature Snowmelt

42 National HIC/RH/HQ Meeting ● January 27, ,000 Snow Reporting Stations NOHRSC NSA Time Series

43 National HIC/RH/HQ Meeting ● January 27, 2006 Snow Reporting Station Metadata

44 National HIC/RH/HQ Meeting ● January 27, 2006 Snow Reporting Station Metadata Land Use / Land Cover Forest Density

45 National HIC/RH/HQ Meeting ● January 27, 2006 In Summary

46 National HIC/RH/HQ Meeting ● January 27, 2006 Thank You ! Thank You !